OBJECTIVE To develope a predictive model for medication deviation risks during the hospital-to-home transition period in coronary heart disease （CHD） patients with initial treatment， aiming to assist medical staff in rapidly identifying high-risk groups for medication deviation. METHODS A total of 462 CHD patients with initial treatment from the Affiliated Hospital of North China University of Science and Technology （hereinafter referred to as “our hospital”） between January and July 2024 were enrolled. The patients were randomly divided into a modeling group and an internal validation group. The modeling group was further categorized into a medication deviation group and a non-medication deviation group based on whether medication deviations occurred. Similarly， 57 CHD patients with initial treatment from the cardiology department of our hospital between June and September 2025 were collected as an external validation group. Univariate analysis was used to screen predictive factors， followed by multivariate Logistic regression to construct the predictive model. Internal validation methods were employed to evaluate model performance， while external validation methods were used to test the model’s generalizability. RESULTS The 462 patients were divided into a modeling group （319 cases） and an internal validation group （143 cases）. In the modeling group， the medication deviation group （192 cases， 60.19%） and the non-medication deviation group （127 cases， 39.81%） were identified. Multivariate Logistic regression analysis revealed that age， medication type， medication adherence， and self-efficacy in rational medication use were predictive factors for medication deviations in CHD patients with initial treatment （ P ＜0.05）. The predictive model equation was logit P ＝ln[ P /（1－ P ） ] ＝1.321+1.732×age+4.091×medication type －4.360×medication adherence －3.081×self-efficacy in rational medication use. The model demonstrated good discrimination， with a Hosmer-Lemeshow goodness-of-fit test P -value of 0.439， an area under the receiver operating characteristic curve （AUC） of 0.870， sensitivity of 0.970， and specificity of 0.607. A risk nomogram with a total score of 350 points and a cutoff value of 110 points was plotted. The internal validation group showed an AUC o f 0.787 and a prediction accuracy of 77.6%， while the external validation group exhibited an AUC of 0.802 and a prediction accuracy of 73.7%. CONCLUSIONS This study successfully developed a predictive model for medication deviation risks during the hospital-to-home transition period in CHD patients with initial treatment. The model demonstrates excellent discrimination and predictive accuracy， effectively identifying high-risk populations for medication deviations. Age （＞70 years）， number of drug types≥5， poor medication adherence， and poor self-efficacy in rational medication use are independent risk factors for medication deviations.

Objective:To evaluate the effects of chlorinated organophosphate flame retardants (Cl-OPFRs) via respiratory and digestive tract exposure on multiple organs in mice.Methods:A short-term repeated exposure model of tris(2-chloroethyl) phosphate (TCEP), tris(1-chloro-2-propyl) phosphate (TCIPP) and tris(1, 3-dichloro-2-propyl) phosphate (TDCIPP) in mice was established through intratracheal instillation and oral gavage administration. The exposure doses were 0.7, 1 and 2 mg·kg -1·day -1, respectively, with continuous administration for 14 days. The organs of the heart, liver, spleen, lung, kidney, stomach, large intestine, small intestine, bladder and testis were collected and weighed to calculate the organ coefficients. The pathological and histological changes were observed by hematoxylin-eosin staining to quantitatively assess the effects of the three Cl-OPFRs on the various organs by using the pathology score. Results:Analysis of organ coefficients in tracheal drip-treated mice showed that the organ coefficients in the testes of the TCEP, TCIPP and TDCIPP groups were lower than those in the control group ( PTCEP-testis=0.045, PTCIPP-testis=0.012 and PTDCIPP-testis<0.001). The organ coefficients were lower in the lungs and small intestines of the TCEP group ( PTCEP-lung=0.006, PTCEP-small intestine=0.042). The organ coefficients for the stomach and large intestine were higher in the TDCIPP group ( PTDCIPP-stomach=0.014, PTDCIPP-large intestine=0.049). Analyses of gavage-contaminated mice showed that the organ coefficients for liver, stomach and small intestine in the TCEP and TDCIPP groups were higher than those in the control group ( PTCEP-liver=0.007, PTCEP-stomach=0.003, PTCEP-small intestine<0.001, PTDCIPP-liver=0.001, PTDCIPP-stomach=0.004, and PTDCIPP-small intestine<0.001). Histopathological analyses of the organs of tracheal drip dyed mice showed significant pathological damage in the lung tissue of the TCIPP group, mainly in the form of thickening of the interstitium, infiltration of inflammatory cells and alveolar collapse. The results of the analysis of gavage poisoned mice showed that TCIPP exposure could lead to blurring of the red and white medullary boundaries of spleen tissues, destruction of white medullary structures, etc., and induce small intestinal cryptitis. TDCIPP induced significant pathological damage to the liver tissues of mice, which mainly included cytoplasmic washout, infiltration of inflammatory cells, acute inflammation, and other injurious effects. Significant pathological damage to the intestinal tissues of mice was also observed. Conclusions:This study demonstrates that the toxic effects of Cl-OPFRs are significantly associated with exposure routes and compound specificity. Respiratory exposure predominantly induces TCIPP-mediated pulmonary injury, while digestive exposure causes TDCIPP-driven hepatointestinal toxicity. These findings provide preliminary evidence for the toxicity screening of Cl-OPFRs.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

OBJECTIVE To evaluate the influence of pharmaceutical quality control on the efficiency and outcomes of standardized medication therapy management （MTM） services for patients with coronary heart disease by using Economic， Clinical and Humanistic Outcomes （ECHO） model. METHODS This study collected case data of coronary heart disease patients who received MTM services during January-March 2023 （pre-quality control implementation group， n＝96） and June-August 2023 （post-quality control implementation group， n＝164）. Using propensity score matching analysis， 80 patients were selected from each group. The study subsequently compared the economic， clinical， and humanistic outcome indicators of pharmaceutical services between the two matched groups. RESULTS There were no statistically significant differences in baseline data between the two groups after matching （P＞0.05）. Compared with pre-quality control implementation group， the daily treatment cost （16.26 yuan vs. 24.40 yuan， P＜0.001）， cost-effectiveness ratio [23.12 yuan/quality-adjusted life year （QALY） vs. 32.32 yuan/QALY， P＜0.001]， and the incidence of general adverse drug reactions （2.50% vs. 10.00%， P＝0.049） of post-quality control implementation group were decreased significantly； the utility value of the EuroQol Five-Dimensional Questionnaire （0.74± 0.06 vs. 0.71±0.07， P＝0.003）， the reduction in the number of medication related problems （1.0 vs. 0.5， P＜0.001）， the medication adherence score （[ 6.32±0.48） points vs. （6.10±0.37） points， P＝0.001]， and the satisfaction score （[ 92.56±1.52） points vs. （91.95±1.56） points， P＝0.013] all showed significant improvements. Neither group experienced serious adverse drug reactions. There was no statistically significant difference in the incidence of new adverse reactions between the two groups （1.25% vs. 3.75%， P＝0.310）. CONCLUSIONS Pharmaceutical quality control can improve the quality of pharmaceutical care， and the ECHO model can quantitatively evaluate the effect of MTM services， making pharmaceutical care better priced and more adaptable to social needs， thus being worthy of promotion.

Objective To assess the potential role of disulfidptosis-related genes (DRGs) in pan-cancer on prognosis and immunity on the basis of bioinformatics approaches. Methods Pan-cancer RNA-seq data, mutation profiles, clinical information, TMB, MSI, stemness scores, and tumor and immune microenvironment data contained in TCGA and various open-source online databases, and multi-group R-language algorithms were used for comprehensive analysis. The expression levels of DRGs at the cellular level were experimentally validated using qPCR. Results LRPPRC, NCKAP1, NDUFS1, and NUBPL had a better prognosis in renal clear cell carcinoma (P<0.001), whereas SLC7A11, NCKAP1, and SLC3A2 had a worse prognosis in hepatocellular carcinoma (P<0.001). TME analysis showed that LRPPRC was negatively correlated with immune cells, stromal cells, and estimated scores in all tumor types. TMB analysis revealed the potential research value of DRGs for PD-1/PD-L1 therapy in pan-cancer. Drug sensitivity analysis showed that SLC7A11 (r=0.454), SLC3A2 (r=0.366), and NCKAP1 (r=0.455) were significantly associated with Kahalide F (P<0.01). Experimental validation demonstrated the overall higher expression levels of GYS1 and NCKAP1 than normal cells in lung adenocarcinoma, colon adenocarcinoma, esophageal squamous carcinoma, and hepatocellular carcinoma (P<0.05). Conclusion Pan-cancer analysis of DRGs indicates that DRGs may serve as important biomarkers for the diagnosis and prognosis of renal clear-cell carcinoma, lung adenocarcinoma, and hepatocellular carcinoma.

This paper comprehensively discusses the impact of obesity on female fertility, oocyte quality, early embryonic development, and assisted reproductive technology (ART), and evaluates the relationship between obesity and pregnancy complications, proposing corresponding prevention and treatment strategies. Studies have shown that obesity adversely affects oocyte quality through chronic inflammation, oxidative stress, and disruption of metabolic pathways, including meiotic defects, mitochondrial dysfunction, and epigenetic alterations. Obesity also affects early embryonic development, potentially leading to placental dysfunction and restricted fetal growth. In the field of ART, obese women face more challenges, such as increased risk of gestational diabetes and decreased success rates of in vitro fertilization. Additionally, obesity is associated with an increased risk of various pregnancy complications, including hypertensive disorders of pregnancy, gestational diabetes, preterm birth, and cesarean section. This paper emphasizes the importance of preconception and prenatal weight management and proposes strategies to improve the fertility of obese women through lifestyle changes, pharmacological treatment, and surgical intervention. Ultimately, this thesis provides personalized recommendations for the reproductive health of obese women to improve fertility and pregnancy outcomes, ensuring the health status of both mother and child.

OBJECTIIVE:The positive role of exercise intervention in the prevention and treatment of sarcopenia has received widespread attention,but the optimal exercise dose for elderly sarcopenic patients still needs to be further determined.The article explored the dose-effect relationship between various elements of exercise prescription and the improvement of muscle mass,muscle strength and physical function in community-dwelling elderly patients with sarcopenia,aiming to provide scientific support for the development of exercise prescription for community-dwelling elderly patients with sarcopenia.METHODS:Literature published from the inception to October 9,2024 in PubMed,EMBASE,Scopus,Web of Science,CNKI,WanFang,VIP,and CBMdisc databases was systematically searched.Meta-analysis was performed using RevMan 5.3 software.Standardized mean difference(SMD)and its 95％CI were used as effect statistics.RESULTS:(1)A total of 11 randomized controlled trials were included,with 348 in the trial group and 304 in the control group.(2)Meta-analysis results showed that exercise improved appendicular skeletal muscle mass index,grip strength,and walking speed in elderly patients with sarcopenia(SMDs 0.46,0.63,0.67,P＜0.05).(3)When the frequency of exercise was 2-3 days/week,appendicular skeletal muscle mass index(SMD=0.57,95％CI:0.28-0.86,P＜0.001),grip strength(SMD=0.70,95％CI:0.37-1.02,P＜0.001),and walking speed(SMD=0.69,95％CI:0.20-1.18,P=0.006)were effectively improved in elderly patients with sarcopenia.(4)When the duration of exercise was 25-60 minutes per session,appendicular skeletal muscle mass index(SMD=0.28,95％CI:0.07-0.50,P=0.01),grip strength(SMD=0.37,95％CI:0.16-0.59,P＜0.001),and walking speed(SMD=0.39,95％CI:0.06-0.73,P=0.02)were effectively improved in elderly patients with sarcopenia.(5)When the exercise intensity was moderate,appendicular skeletal muscle mass index(SMD=0.69,95％CI:0.35-1.03,P＜0.001),and grip strength(SMD=0.36,95％CI:0.09-0.64,P=0.009),and walking speed(SMD=0.91,95％CI:0.34-1.47,P=0.002)were effectively improved in elderly patients with sarcopenia.(6)When the dose of exercise cycle was 8-12 weeks,appendicular skeletal muscle mass index(SMD=0.42,95％CI:0.20-0.64,P＜0.001),grip strength(SMD=0.45,95％CI:0.26-0.64,P＜0.001),and walking speed(SMD=0.76,95％CI:0.27-1.25,P=0.002)were effectively improved in elderly patients with sarcopenia.CONCLUSION:Active,regular exercise can improve muscle health in older adults with sarcopenia.It is recommended that older patients with sarcopenia exercise at least 2 to 3 days per week,25 to 60 minutes each time,lasting for 8 to 12 weeks of moderate intensity exercise to improve muscle health.

Objective To observe the value of T2 mapping for quantitatively evaluating the changes of junctional zone and outer myometrium caused by endometrial fibrosis.Methods A total of 73 infertility patients with endometrial fibrosis confirmed by hysteroscopy(disease group)and 33 healthy women of childbearing age(control group)were prospectively enrolled,and MR examinations were performed at the late proliferative phase of endometrium.The thickness and T2 value of junctional zone,T2 value of outer myometrium on anterior,posterior and fundus wall of midsagittal corpus uteri were measured,and the mean value of the above measurements on the three walls were calculated.Receiver operating characteristic curves were constructed,the areas under the curves(AUC)were calculated to explore the efficacy of those with significant difference among the mean thickness and the mean T2 value of junctional zone,the mean T2 value of outer myometrium and their combination for evaluating endometrial fibrosis.Results The thickness and T2 value of anterior wall,posterior wall,fundus wall and the mean junctional zone in disease group were all significantly higher than those in control group(all P＜0.001).No significant difference of T2 value of anterior wall,posterior wall,fundus wall nor the mean outer myometrium was found between groups(all P＞0.05).The mean thickness and the mean T2 value of junctional zone and their combination could be used to effectively evaluate endometrial fibrosis,with AUC of 0.839,0.822 and 0.922,respectively,and their combination had the best performance(both P＜0.01).Conclusion T2 mapping could be used to quantitatively evaluate the injury of junctional zone caused by endometrial fibrosis.

Metering unit is important component of medical service items and also serve as significant bases for scientifically estimating the costs of medical services.National Technical Specification of Medical Service Items(2023 Edition)has set up elements such as"metering unit"and"adjustment coefficient for resource consumption in special circumstances",which clearly stipulate the metering units of each medical service item and the multiples for discretionary increases or decreases in the overall resource consumption when special circumstances occur.These two elements are important references for the cost accounting in medical institutions.The project team has elaborated on the definitions,establishment principles and special circumstances of these two types of elements,namely"metering units"and"adjustment coefficient for resource consumption in special circumstances",providing references for the application of relevant governments and healthcare institutions.